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A comparative analysis of visualisation techniques to achieve CySA in the military
1. UNIVERSIDAD POLITÉCNICA de VALENCIA
VALENCIA, SPAIN
Salvador Llopis
Javier Hingant
Israel Pérez
Manuel Esteve
Federico Carvajal
IEEE International Conference on Military Communication
and Information Systems (ICMCIS)
Warsaw, 23 May 2018
Wim Mees
Thibault Debatty
ROYAL MILITARY ACADEMY,
BRUSSELS, BELGIUM
3. Agenda
• Introduction
• Process
• 3D Operational Picture
• Cyber Common Operational Picture, CyCOP
• Comparative Analysis
• Conclusions and Future work
4. Introduction
“A common operational picture (COP) for cyberspace
facilitates Command and Control (C2) of Cyber Operations
and real-time comprehensive Situational Awareness”
(United States, Joint Publication 3-12 (R), Cyberspace Operations, 2013)
5. Introduction
• Visualisation is an integral part of the CySA
• Technical and Operational views serve different purposes
• Different visualisation approaches may lead to different
levels of comprehension of the situation
• Perceived reality on the screen may vary due to the
human nature, skills and experience
• Maximum awareness threshold is called “ground-truth”
6. Introduction
Key questions:
- How to fulfil user requirements regarding the tasks to
be performed
VISUALISATION ADAPTED TO USERS´ NEEDS
- Which technologies suit best this performance
TYPE OF REPRESENTATION
WHICH ELEMENTS TO DISPLAY
VALIDATION
7. Process
• Fictional scenario: MINET - physical nodes and cyber
elements
• Simulated data sources
• Set of measurements
• Two types of representation: 3D OP and CyCOP
• Comparative analysis
• Approach Implementation aspects
11. Comparative Analysis
• Complementarity. Implementation of external
interfaces in combination with a representation of
mission-critical aspects
• Multi-format representations
• Reporting
• Real-time data feeds as opposed to offline data
• Granularity
• Assist decision-making
• Mission oriented
12. Conclusions and Future Work
• Experimental validation using SAGAT
• Develop an objective measure of CySA
• Improvements: data classification and decision-making
• Automatic refinement on visualisation by AI